{"id":"W4249776100","doi":"10.5325/fscotfitzrevi.17.1.0295","title":"Academic Year 2019–2020—Membership Dues","year":2019,"lang":"en","type":"article","venue":"The F Scott Fitzgerald Review","topic":"American and British Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Phone; State (computer science); Download; Publishing; Media studies; History; Sociology; Political science; World Wide Web; Law; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004269582,0.001451161,0.001039956,0.002647544,0.002738162,0.008909813,0.002270767,0.004844232,0.5281226],"category_scores_gemma":[0.007734206,0.0005248912,0.00106351,0.001889406,0.0004807299,0.00402667,0.005485673,0.002957276,0.6533765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032968,"about_ca_system_score_gemma":0.01021667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005031581,"about_ca_topic_score_gemma":0.006515576,"domain_scores_codex":[0.9969296,0.0002482714,0.0001519066,0.0002310211,0.001444912,0.0009944013],"domain_scores_gemma":[0.9901541,0.0002343141,0.0002790383,0.0001983715,0.002668083,0.006466086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002968064,0.00001815023,0.0001016293,0.00007636812,0.000001737559,0.00001848296,0.000005879091,0.00001983994,0.00005573375,0.0006069643,0.984413,0.01465261],"study_design_scores_gemma":[0.00002418237,0.00003085292,0.001449784,0.0001364557,0.000002103646,0.0000244897,0.00004674215,0.00008041741,0.00006782133,0.0005897662,0.997538,0.00000938067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002190631,0.005737161,0.001292605,0.03452987,0.08131614,0.001434703,0.05871829,0.002830393,0.8119503],"genre_scores_gemma":[0.009468094,0.004701892,0.0008378796,0.01070856,0.01271149,0.001542233,0.03681585,0.0007675043,0.9224464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5281226,"threshold_uncertainty_score":0.6730758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792736805557409,"score_gpt":0.2466859458536512,"score_spread":0.2287585777980771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}